What Data Should Your Business Track First?

The data overwhelm problem

There's a paradox with business data: companies that track nothing know they need to start, but don't know where. Companies that track everything are drowning in data but starving for insight.

Both problems have the same solution: focus on a small number of metrics that directly connect to business decisions.

Start with business goals

Don't start with "what can we measure?" Start with "what are we trying to achieve?"

For most businesses, everything rolls up to three goals:

1. Grow revenue (or maintain it)
2. Serve customers well (retain them, keep them happy)
3. Operate efficiently (spend less to do more)

Each goal needs one or two metrics. That's your starting set.

Essential metrics by business type

Professional services (consulting, agencies, accounting):

• Utilisation rate (billable hours ÷ available hours)
• Revenue per client
• Pipeline value

Retail / e-commerce:

• Sales per day/week
• Average order value
• Customer return rate

SaaS / subscriptions:

• Monthly recurring revenue (MRR)
• Churn rate
• Customer acquisition cost

Operations-heavy (logistics, manufacturing, field services):

• Jobs completed per day/week
• First-time completion rate
• Average job cycle time

What makes a number worth tracking?

Before a number earns a place on your dashboard, it should pass three tests.

1. You would act on it. If it moves, you know what to do next.
2. The people who act on it understand it. They can explain it in a sentence without help.
3. It arrives in time. You see it soon enough to change the outcome, not after the month has closed.

If a number fails any of the three, leave it off for now.

What to ignore (for now)

• Vanity metrics: Social media followers, page views, downloads, unless they directly drive revenue
• Overly complex metrics: Customer lifetime value, net promoter score, cohort analysis, these are useful later, not when you're starting
• Metrics you can't act on: If you measure something but wouldn't change anything based on the result, don't track it yet

Getting started practically

1. Pick 3-5 metrics from the lists above that match your business type
2. Identify where the data lives: CRM? Accounting software? POS? Spreadsheet?
3. Set a baseline: What are the numbers today? This is your starting benchmark.
4. Set a check-in cadence: Weekly or monthly, depends on how fast the data changes
5. Start simple: A spreadsheet is fine for the first month. Upgrade to a dashboard when the habit is established.